Autonomous Security Management in Optical Networks
Paper i proceeding, 2021

The paper describes the Optical Security Manager module and focuses on the role of Machine Learning (ML) techniques. Issues related to the accuracy, run-time complexity and interpretability of ML outputs are described and coping strategies outlined.

Författare

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Andrea Di Giglio

Telecom Italia S.P.A

Marco Schiano

Telecom Italia S.P.A

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

9489575
978-194358086-6 (ISBN)

Optical Fiber Communications Conference and Exhibition (OFC)
San Francisco, CA, USA,

Providing Resilient & secure networks [Operating on Trusted Equipment] to CriTical infrastructures (PROTECT)

VINNOVA (2020-03506), 2021-02-01 -- 2024-01-31.

Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)

Europeiska kommissionen (EU) (EC/H2020/101015857), 2021-01-01 -- 2023-06-30.

Skydda optiska kommunikationsnätverk från cyber-säkerhetsattacker

Vetenskapsrådet (VR) (2019-05008), 2020-01-01 -- 2023-12-31.

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Informations- och kommunikationsteknik

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Telekommunikation

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Senast uppdaterat

2024-01-03